Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Real-time monitoring method and system based on multiple physiological parameters

A real-time monitoring system and technology of physiological parameters, applied in measuring devices, telemetry patient monitoring, measuring pulse rate/heart rate, etc., can solve the problem of low accuracy of physiological parameter monitoring, and achieve the effect of high monitoring accuracy and effectiveness

Inactive Publication Date: 2017-11-24
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
View PDF7 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are not many types of physiological parameter monitoring, and it is impossible to identify the influence of factors such as the individual's position, exercise state, physical state, and environment on the real-time monitoring of physiological parameters, resulting in low accuracy of physiological parameter monitoring

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real-time monitoring method and system based on multiple physiological parameters
  • Real-time monitoring method and system based on multiple physiological parameters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Such as figure 1 Shown, the real-time monitoring method based on multiple physiological parameters of the present invention, it comprises the following steps:

[0051] S10, acquiring the individual's ECG signal, photoplethysmography signal and positioning signal in real time and outputting and displaying them;

[0052] S20, obtaining the real-time environmental factors of the individual in real time, and obtaining the self-factors entered by the individual;

[0053] S30, network-based MQTT Internet of Things protocol push, real-time update of individual corresponding crowd coefficient;

[0054] S40, through ECG signal and photoplethysmography signal, combined with real-time updated crowd coefficient, monitor heart rate, blood pressure, respiration rate, blood oxygen and output display;

[0055] In step S10, the ECG signal and photoelectric solvent pulse wave tracing signal can be obtained in real time through any device. In order to improve the real-time and convenien...

Embodiment 2

[0079] On the basis of Embodiment 1, this embodiment provides a real-time monitoring system based on multiple physiological parameters, such as figure 2 As shown, it includes a cloud server 10 , ECG electrodes 20 , photoplethysmography probe 30 , GPS positioning component 40 and controller 50 . The cloud server 10 is used for acquiring, storing, processing, pushing and updating data. The electrocardiographic electrodes 20 are used for real-time monitoring of electrocardiographic signals. The photoplethysmography probe 30 is used for real-time monitoring of photoplethysmography signals. The GPS positioning component 40 is used for real-time monitoring of individual positioning and altitude information. The controller 50 communicates with the cloud server 10 , the ECG electrode 20 , the photoplethysmography probe 30 and the GPS positioning component 40 respectively.

[0080] In this embodiment, the cloud server 10 pushes the real-time updated crowd coefficient based on the M...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a real-time monitoring method and system based on multiple physiological parameters. The method comprises the steps of obtaining an electrocardio signal and a pulse oximeter signal tracing signal of an individual in real time, and outputting the signals for display; obtaining individual self-factors and environmental factors in real time; updating a crowd coefficient in real time based on the MQTT protocol push by Internet of things; monitoring the heart rate, blood pressure, respiratory rate and blood oxygen through the electrocardiosignal and the pulse oximeter signal tracing signal and by combining the crowd coefficient updated in real time, and outputting the heart rate, blood pressure, respiratory rate and blood oxygen for display, wherein the crowd coefficient is a reference coefficient related to arterial elasticity and changes with the individual self-factors and environmental factors any time. According to the real-time monitoring method and system based on the multiple physiological parameters, the crowd coefficient is updated in real time online based on the MQTT protocol push by Internet of things, and many kinds of physiological parameters are monitored and updated in real time.

Description

technical field [0001] The present invention relates to the technical field of physiological parameter monitoring, and more specifically, the present invention relates to a real-time monitoring method and system based on multiple physiological parameters. Background technique [0002] Physiological parameter identification is a commonly used clinical body monitoring function. The status monitoring of individual users (such as the monitoring of biological parameters) has certain social and economic benefits, especially the status monitoring and positioning of special groups of people, such as the elderly, children and other groups that need to be monitored. [0003] At this stage, the monitoring of individual status mostly focuses on physiological parameters such as ECG, pulse, and blood pressure, and the monitoring equipment has transitioned from large-scale equipment to wireless, wearable, and small-scale products that can be monitored in real time. There are not many type...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205A61B5/1455A61B5/0402A61B5/00G01D21/02
CPCA61B5/0002A61B5/0205A61B5/021A61B5/024A61B5/0816A61B5/14551A61B5/318G01D21/02
Inventor 钟君于涌郭凯郑陈帆王丽荣朱文亮赵晓东
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com